docstr: prediction function for sparsity correction
docstr_tok: ["prediction","function","for","sparsity","correction"]
code: def predict_fn_for_sparsity(self, input_instance):
      """prediction function for sparsity correction"""
      input_instance = self.model.transformer.transform(
          input_instance
      ).to_numpy()[0]
      return self.predict_fn(torch.tensor(input_instance).float())
  
imports: import copy
  import random
  import timeit
  import numpy
  import torch
  from dice_ml import diverse_counterfactuals
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 5 for calling the DicePyTorch obj's underlying member method code with example usage: obj.predict_fn_for_sparsity(input_instance) and returns: self